摘要
针对处理大型In SAR相位数据,由于传统质量引导的相位解缠方法在解缠过程中要进行大量的排序操作,其解缠效率非常低,提出一种索引分段堆排序相位解缠方法。通过结合传统质量图的优点,将QPDVC作为质量图,并利用索引分段堆排序法将大型相位数据分成多个小堆,从而节省了堆排序过程中调整为最小堆的时间。与传统方法相比,提高了解缠精度和效率。最后,通过相关实验数据仿真证明了该方法的高效性和可行性。
The traditional quality guide phase unwrapping method is unefficient because of a great deal of sort operations in the process of phase unwrapping, especially for large In SAR phase data. This paper proposes a method of index fragmentation heap sort wrapped phase unwrapping. This method puts QPDVCas quality figure in order to combine with the advantages of traditional quality figure, and uses the index fragmentation heap sort to divide large phase data into some small heaps, saving the time of adjusting to mimimum heap in sort process. Compared with traditional methods, this method improves the unwrapping accuracy and efficiency. Finally, the simulation results show that the method is effective and feasible.
出处
《计算机工程与应用》
CSCD
北大核心
2018年第3期222-226,270,共6页
Computer Engineering and Applications
基金
国家自然科学基金(No.61561010)
广西自然科学基金(No.2013GXNSFAA019323)
广西科学研究与技术开发计划项目(No.桂科攻14122006-6)
广西教育厅科研立项项目(No.KY2015LX096)
广西无线宽带通信与信号处理重点实验室主任基金项目(No.GXKL061506)
